Estimating mountainous plant species richness and diversity for monitoring global change in a protected grassland park
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作者:
Mashiane, Katlego K. K.
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Univ Free State, Dept Geog, Qwaqwa Campus, Phuthaditjaba, South AfricaUniv Free State, Dept Geog, Qwaqwa Campus, Phuthaditjaba, South Africa
Mashiane, Katlego K. K.
[1
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Ramoelo, Abel
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Univ Pretoria, Ctr Environm Studies, Dept Geog Geoinformat & Meteorol, Pretoria, South Africa
Univ Free State, Dept Geog, Bloemfontein, South AfricaUniv Free State, Dept Geog, Qwaqwa Campus, Phuthaditjaba, South Africa
Ramoelo, Abel
[2
,3
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Adelabu, Samuel
[3
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Daemane, Ernest
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Univ Free State, Dept Geog, Bloemfontein, South Africa
South African Natl Parks, Sci Serv, Kimberley, South AfricaUniv Free State, Dept Geog, Qwaqwa Campus, Phuthaditjaba, South Africa
Daemane, Ernest
[3
,4
]
机构:
[1] Univ Free State, Dept Geog, Qwaqwa Campus, Phuthaditjaba, South Africa
[2] Univ Pretoria, Ctr Environm Studies, Dept Geog Geoinformat & Meteorol, Pretoria, South Africa
[3] Univ Free State, Dept Geog, Bloemfontein, South Africa
[4] South African Natl Parks, Sci Serv, Kimberley, South Africa
Assessments of species diversity and richness are essential to understand present ecological and biodiversity conditions for effective conservation management strategies. Biodiversity indicators determine rangeland health and response to grazing, fire regimes and climate change. This research examined species richness, diversity and composition in a protected mountainous grassland. Two data sets, both collected from a 30 x 30 m plot, with similar species composition and cover were combined. One data set was collected using a 100-step point survey and the other from a series of 16 plots. A single-factor analysis of variance was used to test if the mean species richness and diversity of the sites differed across the study area. Species accumulation curves were used to determine the relationship between species richness and the number of sampling units per site. The results from fitting a species-area equation showed that the estimated maximum species richness was slightly greater than the observed species pool in all sites, meaning that the sampling units were not adequate (albeit by small margins) to capture all vascular plant species in the sites. Diversity metrics could, thus, be used to monitor species change within grassland plant communities.
机构:
Chinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Georgia Inst Technol, Sch Biol Sci, Atlanta, GA 30332 USAChinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Xu, Zhuwen
Li, Mai-He
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Chinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Swiss Fed Res Inst WSL, Birmensdorf, SwitzerlandChinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Li, Mai-He
Zimmermann, Niklaus E.
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Swiss Fed Res Inst WSL, Birmensdorf, SwitzerlandChinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Zimmermann, Niklaus E.
Li, Shao-Peng
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Georgia Inst Technol, Sch Biol Sci, Atlanta, GA 30332 USAChinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Li, Shao-Peng
Li, Hui
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Chinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R ChinaChinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Li, Hui
Ren, Haiyan
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机构:
Inner Mongolia Agr Univ, Coll Grassland Resources & Environm, Minist Educ, Key Lab Grassland Resources, Hohhot, Peoples R ChinaChinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Ren, Haiyan
Sun, Hao
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Chinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R ChinaChinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Sun, Hao
Han, Xingguo
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Chinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R ChinaChinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Han, Xingguo
Jiang, Yong
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Chinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R ChinaChinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
Jiang, Yong
Jiang, Lin
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Georgia Inst Technol, Sch Biol Sci, Atlanta, GA 30332 USAChinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China